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Preparation Options
Microsoft offers useful preparation options for the individuals who are planning to start their journey with this provider. Thus, for the Microsoft DP-200 exam, you can go for the following resources:
- Paid instructor-led courses
As for the courses with an instructor, you can go for the Implementing an Azure Data Solution training. There are the options that include the classroom training and virtual courses. The time for each session is based on the location of the course.
- Study guides
Using the study guides is what you need to do by all means. They help you cover the details of the exam content, its topics, and the information related to the format of the test. You can search for the options offered by Microsoft or look for the ones that are available on Amazon. For example, you can buy Azure Storage, Streaming, and Batch Analytics: A guide for data engineers by Richard L. Nuckolls or Hands-On Data Warehousing with Azure Data Factory by Christian Coté.
- Free online learning paths
There are 8 learning paths in total that you can follow to learn the details of the exam content. Each path has several modules to cover. Thus, you can go for Store Data in Azure, Azure for the Data Engineer, Work with NoSQL Data in Azure Cosmos DB, Work with Relational Data in Azure, Implement a Data Streaming Solution with Azure Streaming Analytics, Large-Scale Data Processing, Implement a Data Warehouse with Azure Synapse Analytics, and Data Engineering with Azure Databricks.
Reference: https://www.microsoft.com/en-us/learning/exam-dp-200.aspx
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How to book the DP-200 Exam
These are following steps for registering the DP-200 exam. Step 1: Visit to Microsoft Exam Registration Step 2: Signup/Login to MICROSOFT account Step 3: Search for MICROSOFT DP-200 Certifications Exam Step 4: Select Date and Center of examination and confirm with payment value of $165
Microsoft DP-200日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Implement Data Storage Solutions | 40-45 | - Manage data security - Implement relational data stores - Implement non-relational data stores |
| Topic 2: Monitor and Optimize Data Solutions | 30-35 | - Optimize Azure data solutions - Monitor data storage - Monitor data processing |
| Topic 3: Manage and Develop Data Processing | 25-30 | - Develop batch processing solutions - Develop streaming solutions |




